A wrong note got past review
Example · wrong-answer check · AI scribe · 20 scenarios × 8 runs
160 runs · model version recorded on eachReviewed by a named person
The free session
45 minutes. Five failure scenarios. You keep the map.
One call with your product owner and one engineer. We pick one AI feature and work out the five ways its answers could be wrong that matter most, and what is meant to catch each one.
No system access needed · no preparation · no obligation
A model update broke a safety check
Example · model-update re-check · same 20 scenarios re-run
160 runs re-checkedEvery difference reviewed by a named person
Illustration. Example values from a fictional project, not a client engagement.
Who should come
Two people, no homework.
The session works best with the person who owns the feature and one person who knows how it is built.
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Your product owner
The person who can say what the feature is for, and what a harmful answer would look like for your users.
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One engineer
Someone who knows where the model’s answer enters your product and what happens to it next.
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A domain expert, if you have one
Optional. In a specialist field, the person who knows what “wrong” means saves the most time.
What happens
The 45 minutes, step by step.
No slides and no sales pitch. It is a working session, and the output is yours.
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Pick one AI feature
The one where a wrong answer would matter most. One feature, properly, beats five in passing.
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List how it could be wrong
Something left out, a detail invented, a value swapped, an unsafe suggestion, no answer at all.
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Name the safeguard
For each one: what in your product is meant to catch it? Sometimes the honest answer is nothing yet.
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Mark what is tested
Which of those safeguards has anyone actually tested, and when?
What you leave with
A map, and a straight answer.
You get something useful from the 45 minutes whether or not we ever speak again.
The scenario map
One page: five failure scenarios, the risk behind each, the safeguard meant to catch it, and whether it is tested today. Yours to keep.
An honest read
Where you are already covered, and where you are not. If you do not need us, we will say so.
After the session
What happens next, if anything.
Is there any obligation?
None. The map is yours. Many teams take it away and close the gaps themselves, and that is a good outcome.
What if we want you to test it?
The next step is a fixed 10-day first engagement: we build the full scenario set, record a baseline, feed wrong answers in at the seam on your staging environment, and hand over the evidence pack.
Do you need access to anything for the session?
No. The session is a conversation. System access only comes into it if you go ahead with an engagement, and then only to staging.
What if we have no safeguards yet?
Then the map shows you where to put them, in priority order. That is worth knowing before a customer or a buyer finds out for you.
Book the free session.
45 minutes with your product owner and one engineer. Five failure scenarios for one AI feature, the safeguard meant to catch each, and what is tested today.